TL;DR
WisePanda is a physics-driven deep learning framework that significantly improves the accuracy and efficiency of rejoining fragmented ancient bamboo slips, aiding archaeological restoration and study.
Contribution
This work introduces WisePanda, a novel physics-based deep learning method that generates synthetic training data for artifact rejoining without manual pairing, enhancing restoration accuracy and speed.
Findings
Top-50 matching accuracy increased from 36% to 52%.
Archaeologists' rejoining efficiency improved approximately 20 times.
Physics-driven data generation reduces the need for manual sample pairing.
Abstract
Bamboo slips are a crucial medium for recording ancient civilizations in East Asia, and offers invaluable archaeological insights for reconstructing the Silk Road, studying material culture exchanges, and global history. However, many excavated bamboo slips have been fragmented into thousands of irregular pieces, making their rejoining a vital yet challenging step for understanding their content. Here we introduce WisePanda, a physics-driven deep learning framework designed to rejoin fragmented bamboo slips. Based on the physics of fracture and material deterioration, WisePanda automatically generates synthetic training data that captures the physical properties of bamboo fragmentations. This approach enables the training of a matching network without requiring manually paired samples, providing ranked suggestions to facilitate the rejoining process. Compared to the leading curve…
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